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The remarkable potential of generative AI cannot be unlocked unless enterprises are able to maintain the privacy of their data and minimize IP risk while training , customizing and serving their AI models .
“ With the introduction of these new VMware Private AI offerings , VMware is making the future of AI serve everyone in the enterprise by bringing the choice of compute and AI models closer to the data .”
VMware Private AI Foundation with NVIDIA , comprised of a set of integrated AI tools , is pitched as empowering enterprises to run proven models trained on their private data in a costefficient manner and will enable these models to be deployed in data centers , on leading public clouds and at the Edge .
AI models to build their generative AI applications – but with the attendant risks of data exposure and uncertain training sources .
Or they can attempt a DIY model – a strategy seen as lacking cost-efficiency and time-to-value . VMware AI Labs developed VMware Private AI specifically to solve this problem .
“ AI has traditionally been built and designed by data scientists for data scientists ,” said Chris Wolf , Vice President of VMware AI Labs .
VMware Private AI Foundation with NVIDIA – supported by Dell Technologies , Hewlett Packard Enterprise ( HPE ) and Lenovo – will integrate VMware ’ s Private AI architecture , built on VMware Cloud Foundation , with NVIDIA AI Enterprise software and accelerated computing .
The turnkey offering is pitched as providing customers with the accelerated computing infrastructure and cloud infrastructure software they need to customize models and run generative AI applications – including intelligent chatbots , assistants , search and summarization .
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